Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit316-03-20020715_193000_20020716_001400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/15 |
Start Time | | 2002/07/15 19:30 |
End Time | | 2002/07/16 00:12 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -23.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 164.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit316-03-20020715_193000_20020716_001400-constBx0 |
Minimum Dst Value | | 18 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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